#SQLITESTUDIO UBUNTU CODE#
import c:/sqlite/city_no_header.csv cities Code language: SQL (Structured Query Language) ( sql ) Import a CSV file into a table using SQLite Studio The following commands import the city_without_header.csv file into the cities table. Therefore, you should delete the first row of the CSV file. If the table already exists, the sqlite3 tool uses all the rows, including the first row, in the CSV file as the actual data to import.
Second, use the following CREATE TABLE statement to create the table cities. DROP TABLE IF EXISTS cities Code language: SQL (Structured Query Language) ( sql ) In the second scenario, the table is already available in the database and you just need to import the data.įirst, drop the cities table that you have created. SELECT name,Ĭities Code language: SQL (Structured Query Language) ( sql ) To view the data of the cities table, you use the following SELECT statement. ) Code language: SQL (Structured Query Language) ( sql ) schema to display the structure of the cities table. To verify the import, you use the command. import FILE TABLE to import the data from the city.csv file into the cities table. To import the c:\sqlite\city.csv file into the cities table:įirst, set the mode to CSV to instruct the command-line shell program to interpret the input file as a CSV file. We will import a CSV file named city.csv with two columns: name and population. Second, the sqlite3 tool import data from the second row of the CSV file into the table.
The sqlite3 tool uses the first row of the CSV file as the names of the columns of the table. First, the sqlite3 tool creates the table.In the first scenario, you want to import data from CSV file into a table that does not exist in the SQLite database. Importing a CSV file into a table using sqlite3 tool Summary: in this tutorial, you will learn various ways to import CSV data into an SQLite table using sqlite3 and SQLite Studio tools.
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